49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-MLU project
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import sys
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from vllm import LLM, SamplingParams
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def main(model_path):
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# Sample prompts.
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prompts = [
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"The benefits of exercise include",
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"The importance of reading books is",
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"Gardening can be relaxing because",
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"A good night's sleep is essential for",
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]
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sampling_params = SamplingParams(
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temperature=0.6, top_p=0.95, max_tokens=10)
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# Create an LLM.
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engine_args_dict = {
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"model": model_path,
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"tensor_parallel_size": 8,
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"enable_expert_parallel": True,
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"enable_prefix_caching": False,
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"enforce_eager": True,
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"trust_remote_code": True,
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"max_num_seqs": len(prompts),
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"max_model_len": 4096,
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"block_size": 1,
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"gpu_memory_utilization": 0.96,
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}
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llm = LLM(**engine_args_dict)
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# Generate texts from the prompts.
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outputs = llm.generate(prompts, sampling_params)
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# Print the outputs.
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for output in outputs:
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prompt = output.prompt
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generated_text = output.outputs[0].text
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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if __name__ == '__main__':
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if len(sys.argv) < 2:
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print("Usage: python offline_inference.py <model_path>")
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sys.exit(1)
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main(sys.argv[1])
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